AI RESEARCH
Multilevel neural networks with dual-stage feature fusion for human activity recognition
arXiv CS.CV
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ArXi:2604.16577v1 Announce Type: new Human activity recognition (HAR) refers to the process of identifying human actions and activities using data collected from sensors. Neural networks, such as convolutional neural networks (CNNs), long short-term memory (LSTM) networks, convolutional LSTM, and their hybrid combinations, have nstrated exceptional performance in various research domains. Developing a multilevel individual or hybrid model for HAR involves strategically integrating multiple networks to capitalize on their complementary strengths.